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Observer pattern network public opinion appearance-based maturity model of biological event

机译：基于观察者模式网络舆情表象的生物事件成熟度模型

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摘要

Based on the existing characteristics of network public opinion appearance, results of research and analysis indicate that the process of discovering, describing and tracking hot biological events is critical for analysis of biological events network public opinion. As biological event is the centre of analysis for network public opinion, the completeness of event modelling directly determines the profound level of analysis for network public opinion. Event model as the carrier of states representing network biological public opinion contains many aspects of knowledge, such as discovering importance and novelty of an event, describing basic form of network public opinion, and determining whether or when some events become enough or less important. In order to characterise the completeness of the public opinion states, this paper presents a maturity model of event based on observer pattern network public opinion appearance, which can excellently quantify the process of public opinion analysis.
机译：根据网络舆情外观的现有特征，研究和分析结果表明，发现，描述和跟踪热点生物事件的过程对于分析生物事件网络舆情至关重要。由于生物事件是网络舆情分析的中心，因此事件建模的完整性直接决定着网络舆情分析的深刻水平。事件模型作为代表网络生物学公众舆论的国家载体，包含许多方面的知识，例如发现事件的重要性和新颖性，描述网络舆论的基本形式以及确定某些事件是否足够或何时变得不那么重要。为了表征民意状态的完整性，本文提出了一种基于观察者模式网络民意外观的事件成熟度模型，可以很好地量化民意分析的过程。

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  • 作者

    Qinghu Wang; Mingyu Bai; Yuxin Zhou; Jie Lian; Zhili Pei;

  • 作者单位

    College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China;

    College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China;

    College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China;

    College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China;

    College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    network-media biological event; maturity model of event; clustering heat analysis; domain ontology model; POIOI;

    机译：网络媒体生物事件;事件的成熟度模型;聚类热分析;领域本体模型;POIOI;

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